先天性心脏病患者特异性三维打印的临床价值:定量与定性评估

该数据集提供先天性心脏病患者特异性3D打印模型的定量测量与定性评估数据,包括CT影像、3D模型尺寸及相关临床评价。

NIAID Data Ecosystem
浏览 10
多模态heart disease3 D printing technologyCHDCCTA images prepost -3D printingcommunicationTango Plus materialPearson correlation coefficient3 Dpreoperative planningoutlet right ventriclepatient-specific 3 D model
Clinical value of patient-specific three-dimensional printing of congenital heart disease: Quantitative and qualitative assessments

基本信息

模态
多模态
大小
0.00035184 GB
许可
CC BY 4.0
创建/更新时间
2026-10-07
版本
v1

资源简介

先天性心脏病患者特异性三维打印的临床价值:定量与定性评估

【一句话概览】

本数据集是 figshare 公开的多模态数据集,收录 4 个文件、合计 351.84 KB,主题涵盖 heart disease、3 D printing technology、CHD、CCTA images pre、post -3D printing,可用于跨模态对齐与融合建模研究,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Clinical value of patient-specific three-dimensional printing of congenital heart disease: Quantitative and qualitative assessments》。配套论文《Clinical value of patient-specific three-dimensional printing of congenital heart disease: Quantitative and qualitative assessments》发表于 PLOS ONE(2018),DOI:10.1371/journal.pone.0194333。源站首次发布:2018-03-21。

【数据内容】

源站原始描述:Objective Current diagnostic assessment tools remain suboptimal in demonstrating complex morphology of congenital heart disease (CHD). This limitation has posed several challenges in preoperative planning, communication in medical practice, and medical education. This study aims to investigate the dimensional accuracy and the clinical value of 3D printed model of CHD in the above three areas. Methods Using cardiac computed tomography angiography (CCTA) data, a patient-specific 3D model of a 20-m…

【数据结构与技术规格】

文件数 4 个,合计 351.84 KB。S1 File.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,109.97 KB。S2 File.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,102.34 KB。S3 File.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,119.21 KB。数据集 DOI:10.1371/journal.pone.0194333。

【主题与分类】

源站学科分类:Biological Sciences not elsewhere classified、Information Systems not elsewhere classified、Cancer、Science Policy、Mental Health。主题标签:heart disease、3 D printing technology、CHD、CCTA images pre、post -3D printing、communication、Tango Plus material、Pearson correlation coefficient、3 D、preoperative planning。

【适用方向】

多模态数据适合跨模态对齐、融合建模与联合表征学习方向的研究。

【获取与许可】

源站页面:https://plos.figshare.com/articles/dataset/Clinical_value_of_patient-specific_three-dimensional_printing_of_congenital_heart_disease_Quantitative_and_qualitative_assessments/6013211

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Lau, Ivan Wen Wen; Liu, Dongting; Xu, Lei; Fan, Zhanming; Sun, Zhonghua (2018). Clinical value of patient-specific three-dimensional printing of congenital heart disease: Quantitative and qualitative assessments. PLOS ONE. Dataset

【使用注意】

· 源站最后修改于 2023-05-31,引用时请注意版本时效。

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

帮我联系

下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

免登录

有偿下载

公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务(收技术服务费,非数据销售)

暂未开放

当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "S1 File.docx" "https://ndownloader.figshare.com/files/10818980"
curl -L -o "S2 File.docx" "https://ndownloader.figshare.com/files/10818986"
curl -L -o "S3 File.docx" "https://ndownloader.figshare.com/files/10818998"
curl -L -o "S4 File.docx" "https://ndownloader.figshare.com/files/10819007"

文件清单

  • S1 File.docx(109.97 KB)
  • S2 File.docx(102.34 KB)
  • S3 File.docx(119.21 KB)
  • S4 File.docx(20.32 KB)

文件总体积 351.84 KB(源站 API 实测)。

数据加载示例(图像类)

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

Objective
Current diagnostic assessment tools remain suboptimal in demonstrating complex morphology of congenital heart disease (CHD). This limitation has posed several challenges in preoperative planning, communication in medical practice, and medical education. This study aims to investigate the dimensional accuracy and the clinical value of 3D printed model of CHD in the above three areas.
Methods
Using cardiac computed tomography angiography (CCTA) data, a patient-specific 3D model of a 20-month-old boy with double outlet right ventricle was printed in Tango Plus material. Pearson correlation coefficient was used to evaluate correlation of the quantitative measurements taken at analogous anatomical locations between the CCTA images pre- and post-3D printing. Qualitative analysis was conducted by distributing surveys to six health professionals (two radiologists, two cardiologists and two cardiac surgeons) and three medical academics to assess the clinical value of the 3D printed model in these three areas.
Results
Excellent correlation (r = 0.99) was noted in the measurements between CCTA and 3D printed model, with a mean difference of 0.23 mm. Four out of six health professionals found the model to be useful in facilitating preoperative planning, while all of them thought that the model would be invaluable in enhancing patient-doctor communication. All three medical academics found the model to be helpful in teaching, and thought that the students will be able to learn the pathology quicker with better understanding.
Conclusion
The complex cardiac anatomy can be accurately replicated in flexible material using 3D printing technology. 3D printed heart models could serve as an excellent tool in facilitating preoperative planning, communication in medical practice, and medical education, although further studies with inclusion of more clinical cases are needed.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0194333(source: https://plos.figshare.com/articles/dataset/Clinical_value_of_patient-specific_three-dimensional_printing_of_congenital_heart_disease_Quantitative_and_qualitative_assessments/6013211)。

数据缺失?

依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。

⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。

获取专属数据定制方案